Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Multiple Choice Questions
Q241: In a Ridge Problem, the search is stuck on a _____.
- A: local peak
- B: flat area
- C: knife-edge path
- D: loop
View Answer
C
Q242: In the search tree, the goal is represented by city _____.
- A: S
- B: C
- C: I
- D: M
View Answer
D
Q243: In Hill Climbing, the path proceeds only if the next step _____.
- A: is shorter
- B: is closer to the goal
- C: has a higher heuristic value
- D: is random
View Answer
C
Q244: DFS may fail to find the goal if the path is _____.
- A: short
- B: looping
- C: longer
- D: finite
View Answer
B
Q245: Progressive deepening applies DFS with increasing levels until _____.
- A: memory is full
- B: goal is found
- C: tree is exhausted
- D: all nodes are visited
View Answer
B
Q246: Heuristic search is also known as _____.
- A: blind search
- B: uninformed search
- C: informed search
- D: goal-bound search
View Answer
C
Q247: Which of the following is an example of a heuristic?
- A: Tree height
- B: Smell of cheese
- C: Memory stack
- D: Edge weight
View Answer
B
Q248: Hill Climbing will stop when _____.
- A: it finds the goal
- B: all paths are explored
- C: it reaches a local maxima
- D: all nodes are visited
View Answer
C
Q249: In a search algorithm, a heuristic guides the path towards the _____.
- A: start
- B: point of failure
- C: goal
- D: edge
View Answer
C
Q250: If a heuristic leads you to a state with no goal access, it is considered _____.
- A: perfect
- B: random
- C: misguiding
- D: global
View Answer
C